In Study 4, college undergraduates completed a survey consisting of nine measures, including two indices of porosity, the Absorption scale, two indices of spiritual experience, two indices of more secular extraordinary experience, and two control measures.
This notebook contains exploratory factor analyses of item-wise data from this study.
Missing column names filled in: 'X1' [1]Parsed with column specification:
cols(
.default = col_double(),
p7_ctry = col_character(),
p7_abs_check = col_character(),
p7_dse_check = col_character(),
p7_se_check = col_character(),
p7_unev_check = col_character(),
p7_exsen_check = col_character(),
p7_por_check = col_character(),
p7_mm_check = col_character(),
p7_dem_sex = col_character(),
p7_dem_pocc = col_character(),
p7_dem_major = col_character(),
p7_dem_ethnicity = col_character(),
p7_dem_rur.urb = col_character(),
p7_dem_affrd.basics = col_character(),
p7_dem_religion = col_character(),
p7_dem_church = col_character(),
p7_dem_holy.tung.gif = col_character(),
p7_abs_child.exp_cat = col_logical(),
p7_abs_poetic_cat = col_logical(),
p7_abs_tv.real_cat = col_logical()
# ... with 162 more columns
)
See spec(...) for full column specifications.
Parallel analysis suggests that the number of factors = 12 and the number of components = 11
Joining, by = "question"
Joining, by = "question"
Joining, by = "question"
Joining, by = "question"
convergence not obtained in GPFoblq. 1000 iterations used.
Joining, by = "question"